A Data Mining Based Prediction Method for Medical Data Accuracy Using CRBF Techniques

June 2022
Vol-8, Issue-3
Paper ID: 17333
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
data mining
Keywords
RBF ANN Fuzzy System ID3 CRBF
Abstract
The data mining strategy is bucket of estimation for the figure and request of ICU data. The fell RBF organize improved the precision of minority class of classifier and decreases the unclassified data in ID3 portrayal. Now a days data mining technique used in the field of medical diagonise of critical desesis and clinical data. the prediction of mining technique is major issue. For the enhancement of mining technique used various approach such as fuzzy logic, feature optimization and machine learning based classification technique. in this paper proposed RBF model baed classification technique for the prediction of cilinical data. the prediction rate of data is good in compression of perivious methods. For the validation and vrfication of proposed model used MATLAB software and very reputed dataet such as blood cancer, stomach.

Author Information

# Name Institute / Affiliation
1 Mohit Khond srk university
2 dr . dinesh kumar sahu srk university

How to Cite

Use the following formats to cite this article in your research.

APA Style
Khond, Mohit & sahu, dr . dinesh kumar (2022). A Data Mining Based Prediction Method for Medical Data Accuracy Using CRBF Techniques. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 3978-3984.
MLA Style
Khond, Mohit, and dr . dinesh kumar sahu. "A Data Mining Based Prediction Method for Medical Data Accuracy Using CRBF Techniques." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 3978-3984.
IEEE Style
Mohit Khond and dr . dinesh kumar sahu, "A Data Mining Based Prediction Method for Medical Data Accuracy Using CRBF Techniques," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 3978-3984, 2022.
Vancouver Style
Khond Mohit, sahu dr . dinesh kumar. A Data Mining Based Prediction Method for Medical Data Accuracy Using CRBF Techniques. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):3978-3984.
Harvard Style
Khond, Mohit & sahu, dr . dinesh kumar (2022) 'A Data Mining Based Prediction Method for Medical Data Accuracy Using CRBF Techniques', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 3978-3984.
Chicago Style
Khond, Mohit and dr . dinesh kumar sahu. "A Data Mining Based Prediction Method for Medical Data Accuracy Using CRBF Techniques." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 3978-3984.
Turabian Style
Khond, Mohit and dr . dinesh kumar sahu. "A Data Mining Based Prediction Method for Medical Data Accuracy Using CRBF Techniques." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 3978-3984.

Export Citation

Related Research

A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
Vaibhav Ashok Bhangare et al. 2026 Computer Engineering
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
Vishakha Jadhav et al. 2026 Human Resource Management, Artificial Intelligence, Machine Learning, Payroll Systems, Cybersecurity, Business Intelligence, Robotic Process Automation, Employee Analytics, Digital Transforma
PDF Unavailable
Civic Engagement & Empowerment Platform
Supriya Dadaso Bankar et al. 2026 Computer engineering
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
Prof. Priyanka P. Kakade et al. 2026 Computer Engineering
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
Rohan Mulik et al. 2026 Computer Engineering
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
Kirti Datir et al. 2026 Computer Engineering
PDF Unavailable
Employee Performance Portal
P.Harika et al. 2026 Computer science and engineering
PDF Unavailable